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This repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions
Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)
In this project, I have used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer or not in general
The U.S. Postal Service has been using machine learning and scanning technologies since 1999. Because its postal offices have to look at roughly half a billion pieces of mail every day, they have done extensive research and developed very efficient algorithms for reading and understanding addresses. And not only the post office, ATMs can recognize handwritten bank checks. Evernote can recognize handwritten task lists and Expensify can recognize handwritten receipts. In this project, I used K-means clustering (the algorithm behind this magic) and scikit-learn to cluster images of handwritten digits
Let's get those centroids!